CARLETON WIRELESS SEMINAR SERIES

Time: Wednesday, 21 August 2019, 2:00-4:00 pm
Place: Carleton University, Systems and Computer Engineering
The Maker Lab, 4463 Mackenzie Building, map.

Title: WIRELESS NETWORKS WITH CACHE-ENABLED AND BACKHAUL-LIMITED AERIAL BASE STATIONS

Speaker: Elham Kalantari, PhD Candidate, Electrical Engineering and Computer Science, University
of Ottawa
(Supervisors: Professors Yongacoglu and Yanikomeroglu)

OPEN DISCUSSION ON MAJOR RESEARCH PROBLEMS IN SPACE AND AERIAL NETWORKS
Everyone is welcome to contribute.

* ABSTRACT: Utilizing drone base stations (DBSs) to enhance agility and flexibility of future wireless networks is a promising approach. DBSs can improve the coverage or capacity of the network by moving supply towards demand when required. However deploying such BSs in the network has several challenges that should be addressed. One of the main challenges is finding an efficient 3D placement of DBSs considering the network objectives. The other issue is the limited wireless backhaul capacity of DBSs and consequently the higher latency and congestion it causes. To address this issue, content caching is proposed to alleviate the backhaul congestion and decrease the latency issue. In this work, we consider a limited variable backhaul capacity
for DBSs and define two groups of users, namely delay-tolerant and delay-sensitive users with different quality-of-service (QoS) requirements and study the problem of jointly finding the backhaul-aware 3D placement of DBSs, user-BS association and bandwidth allocations while minimizing the total transmit power. To this end, an
iterative algorithm is proposed by applying a decomposition method. First, the 3D locations of DBSs are found using a semi-definite relaxation (SDR) approach and then the association of users to BSs and the bandwidth allocations are optimized. The simulation results demonstrate the effectiveness of the proposed algorithm and facilitate insights about the impact of traffic distribution and content caching on transmit power and backhaul usage of DBSs.

* BIO: Elham received her BSc and MSc degrees in Electrical Engineering from the University of Tehran and Shahed University, Tehran, Iran, in 2007 and 2010, respectively. From 2010 to 2013 she worked as a performance engineer in MTN Irancell, a leading telecom company in Iran. She is currently pursuing her PhD degree at the University of Ottawa, Ottawa, Canada. Her research interests include 5G wireless networks, unmanned aerial vehicle communications, resource allocation, convex optimization, and machine learning.

Note: The subsequent wireless seminar will be on Friday, Aug 23, at 11:00 am, by Dr. Zhaleh (Jale) Sadreddini (Radio Resource Management in 5G Networks).

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